May 6th: Our “CIRC du CAFe”/Wall Walk/Alt. Poster Session, 11:00am -12:30pm
The wall walk will take place in the Info Commons in Hornbake Library from 11:00am-12:30pm and will feature installations, works-in-progress, and posters showcasing graduate student projects on our new experiential learning teaching experiment. This first iteration of the (award-winning!) CAFe Incremental Research Collective (CIRC) was co-designed by CAFe faculty (Fenlon, Grimmer, Hung, Marsh, Van Hyning) to trial distributing archival work on one collection across FOUR graduate courses in different modalities! We are very grateful to the collection donor, Emeritus Professor Dagobert Soergel, who promises to be in attendance! Courses included below for a flavor of project outputs you might see:
INST785 Documentation, Collection, & Appraisal of Records (Grimmer, in person) — students conducted initial inventory and selection activities and applied appraisal theory as to faculty papers and disciplinary history.
INST604 Introduction to Archives and Digital Curation (Marsh, synchronous online), students conducted research to situate the materials within broader collecting contexts, produced scope notes and and experiment with other digital avenues for access.
LBSC770 Metadata and Tools for Information Professionals (Grimmer, asynchronous online), students will design and apply descriptive metadata schemas, experiment with cleanup and reconciliation tools, and explore linked data modeling.
INST614 Information Literacy and Inclusion (Hung, in person) students explored these collections for K-12 instructional use.
We’re planning to bring light treats!
Our Graduate Student Research Symposium, 3:30-5:30pm
In collaboration with the Student Archivists at Maryland (SAM), the CAFe symposium will take place in the Info Commons in Hornbake Library from 3:30–5:30 pm and will feature lightning talks and posters showcasing graduate student research across archives, records, and special collections. It’s a great opportunity to see the range of work happening in our community and to connect with the work our students are doing.
The event will feature a potluck! If you’d like to contribute, please sign up here.
April 8th: Journalism & Data Roundtable
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Speakers: DeNeen L. Brown (Top Left) , Rob Wells (Top Right) , Jeff Suess (Bottom Left) , Katherine Boss (Bottom Right)
Abstract:
This roundtable convenes journalists to examine the relationships among newspaper archives, data practices, and evolving news infrastructures. Participants will discuss how reporting, preservation, and data reuse change over time, with attention to moments of institutional transition such as ownership transfers and the sale of media outlets. The discussion foregrounds the material and organizational conditions that shape archival continuity and access, and considers how these conditions influence the afterlives of journalistic records. By situating contemporary practices within longer trajectories of media change, the session offers a critical account of how news production and preservation intersect in an era of consolidation and restructuring.
Bios:
DeNeen L. Brown has been an award-winning writer for The Washington Post for more than 37 years. Brown is a professor at the Philip Merrill College of Journalism, where she teaches Feature Writing, “Covering Social Justice Issues for Newspapers and Magazines,” and the “Power of the Writing Voice.”
Brown has written extensively about the country’s history of racial terror lynchings and massacres. After Brown’s 2018 story on the 1921 Tulsa Race Massacre was published on the front page of The Washington Post, the mayor of Tulsa announced he would reopen the city’s search for mass graves of victims of the massacre. In October 2020, the city discovered a mass grave that may be connected to the massacre.
Brown’s work on Tulsa is featured in two documentaries:
“Rise Again: Tulsa and the Red Summer,” released on NatGeo TV and Hulu. https://www.youtube.com/watch?v=rFR0wUtcrZU
Tulsa: The Fire and the Forgotten for PBS. https://www.youtube.com/watch?v=diyUd6vsRV0
From 2000 to 2004, Brown was a foreign correspondent for The Washington Post, and the first Black woman to cover Canada for The Washington Post. As a foreign correspondent, Brown traveled throughout the Arctic and the Arctic Archipelago, which consists of 94 islands, to write about climate change and indigenous populations. Many of her stories about climate change, which were first-hand reports about the fragile Arctic and thinning sea ice, are cited in scientific journals throughout the world.
Here is a link to her author page at The Washington Post: https://www.washingtonpost.com/people/deneen-l-brown/
Rob Wells is an associate professor at the Philip Merrill College of Journalism at the University of Maryland, where he teaches data, reporting and is the Ph.D. Studies director. Wells returned to Maryland in January 2022 after teaching for 5 1/2 years at the School of Journalism and Strategic Media at the University of Arkansas in Fayetteville. He taught data journalism, journalism theory, business journalism, and led the Graduate Studies program. He led his students to produce the award-winning ArkansasCovid.com website, which published daily updates of data and news on the Covid-19 pandemic. Wells earned his doctorate in Journalism Studies at the Merrill College of Journalism in 2016. He is a journalism historian, specializing in business journalism, and also conducts research on data journalism.
Jeff Suess is a history columnist and librarian at the Cincinnati Enquirer. He is the author of several books on Cincinnati history, including Lost Cincinnati, Hidden History of Cincinnati, Cincinnati Then and Now, and Cincinnati: An Illustrated Timeline. He also wrote Tomorrowland: The Past, Present, and Future of Disney’s Most Changed Land, co-wrote The Cincinnati Bengals: An Illustrated Timeline with Rick Pender and The San Francisco 49ers: An Illustrated Timeline with Mark Purdy, and edited the Cincinnati Reds books Pete Rose: A Tribute to a Baseball Legend and Big Red Machine: Cincinnati’s Dynasty 50 Years Later. Jeff grew up in Modesto, California, and graduated from San Francisco State University. He lives in Cincinnati with his wife, Kristin, and their daughter, Dashiell.
Katherine Boss lives in Oslo, Norway, and is a head librarian and web archiving curator at the National Library of Norway. She previously worked as the Librarian for Journalism, Media, Culture and Communication at New York University. Her research focuses on the challenges of archiving born-digital news content and pedagogies in library instruction. She has served as co-
chair of the Association of College & Research Libraries’ Communication Studies Committee, as well as the co-leader of the Archiving and Preserving News Applications working group of the Journalism Digital News Archive. She holds a bachelor’s in Journalism from Grand Valley State University, a master’s in Library and Information Science from Long Island University, and a master’s in Media Studies from The New School in New York City.
March 4th: Archiving Machines: From Punch Cards to Platforms
Speaker: Amelia Acker, Associate Professor, School of Communication & Information, Rutgers, The State University of New Jersey
Abstract:
This book talk examines how data archiving processes, the computational techniques of storage, exchange, and transmission, have transformed memory practices and created new regimes of asymmetric access. Drawing on fieldwork with historic computing machines, early digital data formats, personal digital assistants and early mobile apps, I trace how ‘archive’ became a verb in computing cultures, and how this shift enabled corporate platforms to assert functional sovereignty over collective memory. While most critiques of big data focus on extraction and prediction, I argue that long-term storage and asymmetric access to data constitute a historically specific regime that determines what counts as memory in a time of platform capitalism. Through key scenes in the history of data management from the 1960s-2010s, I demonstrate how techniques of distancing separate data creators from the archives they create. These distancing techniques operate through embedded practices like automatic saving, cloud storage, and mobile apps that condition users to cede control while experiencing greater device interaction. By examining moments when institutions failed and corporations succeeded in controlling access to data archives, Archiving Machines offers both a critical genealogy of our current condition and grounds for imagining alternative futures for our digital cultural memory.
Bio:
Amelia Acker is an Associate Professor in the School of Communication & Information at Rutgers, The State University of New Jersey. Her research on data management and digital preservation has been supported with funding from the Institute for Museum and Library Services, the National Science Foundation, the Sloan Foundation, the Ford Foundation, and the ACM History and Archiving Fellowship. Acker’s projects address the representation and loss of digital traces, the history of data management, and the transmission of information through time. She investigates how infrastructure and organizational practices shape the preservation, accessibility, and governance of data, with a particular focus on the impact of platforms, software, and AI on archives and digital memory. Acker is the author of Archiving Machines: From Punch Cards to Platforms (MIT, 2025).
February 13th: Douglass Day 2026
Celebrate Frederick Douglass’s birthday and Black History Month by preserving a rich collection of African American history. The day will include a Transcribe-a-Thon and a live stream of the Douglass Day program. This year, in addition to transcribing textual documents through the LC’s platform, students can experiment with encoding music using spirituals from the Jessye Norman papers at the LC.
February 4th: Computing Cultural Heritage: Re-imagining Search & Discovery
Speaker: Benjamin Lee, Assistant Professor, Information School, University of Washington
Abstract:
Widespread efforts by libraries, archives, and museums have drastically improved digital access to collections. Yet, scholars and the public alike face a persistent challenge: how to explore and analyze these digital collections, which frequently contain millions of items and often suffer from imperfect metadata. My interdisciplinary research in this field of “computing cultural heritage” addresses this question by bringing together approaches from AI, library & information science, and the digital humanities in order to build and examine large-scale search systems for digital collections. In this talk, I will present my genealogy of work in this space. I will conclude with a horizon of opportunities and challenges that lie ahead.
Bio:
Benjamin Charles Germain Lee is an Assistant Professor in the Information School at the University of Washington, where he has started the Lab for Computing Cultural Heritage. Ben’s research explores how to re-imagine search and discovery for large-scale digital collections held by libraries, archives, and museums. Previously, Ben has served as an Innovator in Residence as well as a Kluge Fellow in Digital Studies at the Library of Congress. He also was the inaugural Digital Humanities Fellow at the United States Holocaust Memorial Museum. Ben received his Ph.D. in Computer Science & Engineering from the University of Washington, which was supported by a National Science Foundation Graduate Research Fellowship in machine learning.
January 20th, 21st, and 22nd: CIRC Digitization Day
Abstract:
The CAFe Incremental Research Collective (CIRC) is a new research and training model designed to address the challenges of sustaining applied research that meaningfully spans multiple courses, instructional modalities, and levels of student expertise, while also generating faculty-led research outcomes. CIRC functions as a project-based research collective that enables MLIS students to contribute incrementally to faculty-led research while receiving structured recognition for their work. Students may participate at varying levels of intensity and duration, yet their contributions accumulate into coherent pilot studies with real scholarly outputs. The pilot collection for this research consists of donated boxes of materials from past faculty, with a particular emphasis on the papers of Dagobert Soergel and related documentation of the history of information science. These materials currently exist almost entirely in analog form. Rapid digitization will allow CIRC to experiment across courses, particularly those that are fully online or asynchronous.
Research Activities:
This project will conduct a tightly sequenced pilot designed to test the feasibility of the CIRC model under real instructional and institutional constraints. The first phase focuses on digitization of a representative subset of the donated faculty collections. Digitization will take place during three intensive pre-semester scanning days on January 20–22 to produce standardized digital surrogates. These sessions are deliberately scheduled prior to the start of the Spring term to ensure that a usable digital corpus is available from the first week of classes.
January 9th: FAIRly Obscure (The Trilogy): An Anthropology Wikipedia Edit-a-thon
Registration via Eventbrite: https://www.eventbrite.com/e/
Presented by:
The University of Maryland Center for Archival Futures; The Bentley Historical Library and University of Michigan School of Information; the University of Missouri’s iSchool; and the Council for the Preservation of Anthropological Records (CoPAR), and Wikimedia DC.
Event description:
Are you interested in the history of anthropology? In archival representation, outreach, and linked data? In FAIR and CARE principles for social science and scientific information? Getting trained up in Wikipedia or Wikidata? Join the third in our series of co-sponsored edit-a-thon events to support the ethical description of anthropological knowledge and anthropological records focused on reworking and expanding related Wikipedia and Wikidata entries.
This edit-a-thon will focus on editing, adding, and checking information on these publicly available and publicly maintained registries (e.g. CoPAR registry version 1 and 2) relating to anthropologists and anthropology. Interested audiences may include community members, anthropologists, graduate students in anthropology, graduate students in information science, linked data nerds, and others!
No Wikipedia editing experience necessary. Wikipedia training will be provided, along with lightning talks, a demo on Wikidata, and an optional open discussion on the new North American Indigenous Wiki Interest Group.
Event preparation:
Please read or refresh on the following:
Wiki guide from Australia: https://wikimedia.org.au/wiki/
WikiProject, Indigenous Peoples of North America Wikidata Model: https://www.wikidata.org/wiki/
Living persons guidance: https://en.wikipedia.org/wiki/
Protocols for Native Archival Materials: https://www2.nau.edu/libnap-p/
CARE Principles for Indigenous Data Governance: https://www.gida-global.org/
FAIR Principles for Scientific Data Management and Stewardship: https://www.go-fair.org/fair-
On editing Wikipedia for history: Roy Rosenzweig, “Can History Be Open Source? Wikipedia and the Future of the Past,” Journal of American History 93, no. 1 (June 2006): 117-146. DOI: https://doi.org/10.2307/
Carlson, B., & Rana, L. (2024). “I really like Wikipedia, but I don’t trust it”: Understanding First Nations peoples’ experiences using Wikipedia as readers and/or editors. Macquarie University. https://doi.org/10.25949/76YK-
When:
Wikipedia training will be provided, taking place Friday, January 9, 2026. If you’ve never edited before, please plan to attend the training session, from 11:30am-12:30pm.
Brief Wikidata training will take place at 1:30pm.
Open editing time will run from 12:45pm to 3:30pm (Eastern time).
From 3:30pm to 3:45pm we will invite an optional open discussion of the North American Indigenous Wiki Interest Group.
Please fill out this quick Google Form to indicate your interest in Wikipedia or Wikidata:
Wikidata & Wikipedia Interest Survey Link: https://forms.gle/